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hadamard matrix相关的网络例句

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Selfconjugate matrix, skewselfconjugate matrix, perselfconjugate matrix, skewperselfconjugate matrix, centrosymmetric matrix, skewcentrosymmetric matrix, bisymmetric matrix, and skewbisymmetric matrix over a ring with an involutorial antiautomorphism are defined. Significant criteria for matrices to be bisymmetric and skewbisymmetric are obtained.

在具有对合反自同构的环上定义了自共轭矩阵,斜自共轭矩阵,广自共轭矩阵,斜广自共轭矩阵,中心对称矩阵,斜中心对称矩阵,双对称矩阵和斜双对称矩阵,建立了双对称矩阵和斜双对称矩阵的重要判定定理。

Five ways on comparing covariance matrix are applied to the Shanghai 50 Indexes Stock Exchange, which are sample covariance matrix, scalar matrix, two-parameter covariance matrix, single index matrix, constant correlation matrix. We adopt principal components method and Markowitz portfolio method to measure stock market risk using VaR, getting the effect of measuring market risk. The result shows that sample covariance matrix and two-parameter covariance matrix could measure market risk more effectively.

本文以上证50指数数据为样本,采用样本协方差矩阵、数量矩阵、两参数模型矩阵、单指数模型矩阵、常量相关矩阵作为与股票相关的协方差矩阵,结合投资策略选择的主成分方法和Markowitz最优投资组合方法,计算VaR以度量市场风险,并比较了五种协方差矩阵度量市场风险的效果,结果表明,在主成分方法中,样本协方差矩阵和两参数矩阵方法能有效的度量市场风险。

On the basis of the definition of matrix traces , this paper discusses their characteristics at first and then according to the norm of the F of square matrix and Cauchy-Schwarz inequality gives how to prove the zero matrix, unsimilar matrix, number cloth matrix, column matrix idempotent matrix and non-equality matrix.

根据矩阵迹的定义,首先给出了矩阵迹的性质,然后依据方阵的F—范数定义Cauchy—Schwarz不等式,给出了零矩阵,不相似矩阵,数幂矩阵,列矩阵,幂等矩阵及矩阵不等式的证法。

And we have given Hadamard matrix in detail in block design, coding and the specific application in communication., Hadamard code as a nonlinear combinatorial code has catered to the need of development of computer technology, stock systematic data and high speed for realizing and reliable access, request the error control code has not only little redundancy, but also can parallel encoding and decoding with high speed.

Hadamard码作为一种非线性组合码,迎合了计算机技术的发展对实现存储系统数据高速且可靠地存取,要求所采用的差错控制码不但冗余度小,还应当能高速并行编码和译码的需要。

Computing inverse matrix, a unit entrainment in the matrix behind the matrix, and then in front of it is processed into a matrix, diagonal matrix, the latter matrix that is the inverse matrix.

详细说明:计算逆矩阵,在矩阵后面夹带一个单位矩阵,然后把前面那一个矩阵处理成对角线单位矩阵,后面的那个矩阵就是逆矩阵。

In the proposed algorithm, firstly the Hadamard transform was applied to all the codewords in the codebook and the input vector. Then the initial match codeword was selected from the codeword whose norm was nearest to the norm of input vector on Hadamard transform. Furthermore, the triangle inequalities with multiple control vectors and the two elimination criteria were utilized to reject mismatch codewords. Finally, the best-match codeword to the input vector was found.

该算法首先计算出每个码字和输入矢量的哈德码变换,然后为输入矢量选取范数距离最近的初始匹配码字,利用多控制点的三角不等式和两条有效的码字排除准则,把不匹配的码字排除,最后选取与输入矢量最匹配的码字。

In chapter 3, the concepts of M-matrix and H-matrix over a commutative Banach algebra have been proposed, and some of their important properties and applications in linear systems over a commutative Banach algebra have been studied. For usual complex matrix, the Bellman inequality with Hadamard product has been proved.

第三章,提出了交换Banach代数上M一矩阵及H一矩阵的概念,研究了其一些重要性质,并给出了在交换Banach代数上线性系统中的应用;对有限维复矩阵,证明了关于 Hadamard乘积的 Bell.an不等式。

This paper discusses and researches some special matrix, and mainly does following several aspects.First, The special products of some matrices, as Fan product, Kronecker product and Hadamard product, are discussed. Some little results such as the Kronecker product of normal matrix is still normal matrix are obtained.

本文对若干特殊矩阵进行了探讨和研究,主要作了以下几方面的工作:第一,本文对一些特殊矩阵的特殊积,如Fan积,Kronecker积,Hadamard积等进行了讨论,得出诸如正规矩阵的Kronecker积仍是正规矩阵等一些结果。

The algorithm uses the wavelet decomposition and reconstruction in multi-resolution editing B-spline curves and transforms a zonal matrix or sparse matrix to a row simplified matrix using the properties of the augmented matrix of the system of linear equations,which is a zonal matrix or sparse matrix,by elementary row operation.

该算法利用方程组的增广矩阵为类带状矩阵或者稀疏矩阵这一特点,运用简单的矩阵的行初等变换,将类带状矩阵或者稀疏矩阵化成容易接受的行简化矩阵,解方程组,使小波分解与重构的过程快速准确,使从事相关工作的技术人员更容易理解和接受。

In chapter three, at first we introduces two kinds locally double αdiagonally dominant matrix from the concept of αdiagonally dominant matrix, by using this conception and the properties of αdiagonally dominant matrix and the techniques of inequalities, we discuss the relation of locally double αdiagonally dominant matrix and generalized strictly diagonally dominant matrix, according to these relations we obtain some effective criteria for generalized strictly diagonally dominant matrix.

在第三章中,首先由α-对角占优矩阵的定义,引进了两类局部双α对角占优矩阵,并利用它们及α-对角占优矩阵的性质,结合放缩不等式的技巧,讨论了局部双α对角占优矩阵与广义严格对角占优矩阵的关系,并由此得到判定广义严格对角占优矩阵的几个实用准则。

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